Inteq Big Data Requirements Analysis Overview 2013

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Copyright © 2013, The Inteq Group, Inc.
Big Data Business Requirements
For Business Intelligence, Analytics and Decision Making

Business data is growing exponentially – in volume,
velocity and variety! Customer requirements,
competition and innovation are driving rapid changes
in business requirements and supporting business
processes.

Decision makers, at all levels of an organization,
require accurate, current, cohesive business
information to glean actionable business intelligence,
analytics and insights to make effective tactical and
strategic decisions.

Big data is no longer “nice to have” - it’s essential to
agility and competitiveness. Simply stated –
organizations that execute on big data and act on the
resulting business intelligence thrive.

Most organizations recognize the value of big data.
Unfortunately, many organizations are not yet
realizing the full potential. The problem, however, is
not with the enabling technologies – the technologies
are stable and well understood. The problem lives with
the business requirements.

Business requirements analysis for big data is very
different than business requirements analysis for
transactional systems – and requires business
analysts with a unique, business-oriented (non-
technical) set of business analysis skills, techniques
and methods.

Inteq’s Big Data Business Requirements training
provides the critical thinking skills, conceptual
knowledge and best practice techniques to rapidly
discover, thoroughly analyze and accurately specify
big data business requirements - requirements that
enable stakeholders across the organization to glean
valuable insights and make intelligent decisions.

Inteq's Big Data Business Requirements training is
about business requirements from a business (non-
technical) perspective - and is seamlessly integrated
and cohesively organized around Inteq's
MoDA/Framework™ - the blueprint for delivering
speed, accuracy, depth and consistency in business
and systems analysis.

Inteq's Big Data Business Requirements training has
emerged as the gold standard for professional
business analysis training - and is simply the most
effective business analysis training course available in
the industry.

Inteq Big Data Business Requirements training is
more than education; its transformation - for the
participants, project teams and their organizations.

That’s why over 300,000 business and systems
analysis professionals worldwide choose Inteq's
business analysis training courses and Inteq's Big
Data Business Requirements training course.

Program Outline

Introduction and Foundation
 Big Data vs. Transactional Requirements
 Volume, Velocity and Variety
 Big data and business process
 Knowledge vs. rules based decision making
 Tactical & Strategic requirements
 Metrics and key performance indicators
 A roadmap for big data requirements

Business Questions & Dimensional Modeling
 Review of business data rules and patterns*
 Business questions and multidimensional analysis
 Logical dimensions, facts and hierarchies
 Slowly-changing dimensions and granularity
 Constellations with conformed dimensions and facts
 Transitioning logical dimensional models into star
schema

* See "Prerequisites" section below.

Tactical Business Intelligence Requirements
 Identifying “Tactical” business questions
 Analyzing cross-organizational facts
 Analyzing tactical BI requirements
 Specifying tactical BI requirements

Strategic Business Intelligence Requirements
 Identifying “Strategic” business questions
 Using dimensional models to analyze strategic BI
requirements
 Analyzing strategic BI requirements
 Specifying strategic BI requirements

Business Analytical Processes
 Business questions navigation
 Cluster business questions







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Copyright © 2013, The Inteq Group, Inc.
 Building decision-tree flows by role
 Analyzing asymmetrical dimensions
 Integration with business work flow processes

Data Acquisition Requirements Analysis
 Information architecture layers and patterns
 ETL, ELT and data staging
 Analyzing data sources and systems of record
 Data quality considerations
 Modeling time-variant data for integration

Practical Guidance and Best Practices
 Developing a strategy for Big Data
 Special considerations for social media monitoring and
data mining
 Meta data considerations
 Information delivery considerations
 Getting started Monday morning

Who Should Attend?

Inteq’s Big Data Business Requirements Analysis is a
business analysis course designed for Business
Analysts, Business Systems Analysts, Data Modelers,
Data Analysts and Architects, Data Scientists.
Developers and technical architects that want to
understand the business requirements aspect of big
data will also benefit from this course.

Prerequisites:

This course assumes that participants are proficient in
the recognition and use of business data rules and
patterns. We recommend that participants attend
Inteq’s Business Systems Analysis or Logical Data
Modeling as a prerequisite to this course.

Learning Options

Inteq training options are designed to optimize
individual learning styles, objectives, budgets and
time.

Choose the learning option that is right for you!

 Traditional Classroom (2 Days)
 Virtual Classroom (3 Sessions)
 On-Site at Your Location (2 days)

Traditional classroom training and on-site training programs
are conducted over two consecutive full days. Live virtual
classroom training programs are conducted via three five-
hour sessions over three days.

Al learning options are instructor lead live training
based on Inteq’s acclaimed MoDA/Framework™ and
MoDA/SMART™ method.

You will learn:

 The 5 types of requirements that form the
foundation for analysis
 To identify, analyze and validate the right “business
questions” that decision makers need answered to
support tactical and strategic decision making
 To specify clear, concise, unambiguous business
intelligence information requirements that enables
the design of effective big data solutions
 The key enablers for delivering big data business
intelligence
 To map requirements to source data and to map
and transform source data to enable effective,
consistent high-quality solutions
 To express the requirements in a clear, concise,
unambiguous format that enables developers to
design appropriate technical solutions to support
big data requirements
 Special considerations for social media monitoring,
data mining, and meta data analytics
 To integrate big data into your business processes
and decision processes

_____________________________________________________________

Program participants receive a comprehensive course
workbook, supplemental materials, and a personalized
Certificate of Completion indicating CEU (continuing
education unit) credits awarded.

Inteq training programs are available via open
enrolment at scheduled dates/ locations across the
U.S and London and via live virtual classroom
eLearning and on-site at your locations – worldwide.

Contact us today:

[email protected] │800.719.4627
www.inteqgroup.com

Inteq training programs can be tailored to your
organization’s specific training objectives and can also
be combined into innovative 3, 4, and 5-day hybrid
training programs.